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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
model-index:
- name: POEMS-CAMELBERT-CA-RUN4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# POEMS-CAMELBERT-CA-RUN4
This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1498
- Accuracy: 0.5966
- F1: 0.5966
- Precision: 0.5966
- Recall: 0.5966
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.3444 | 1.0 | 472 | 1.2277 | 0.4552 | 0.4552 | 0.4552 | 0.4552 |
| 1.1589 | 2.0 | 944 | 1.0866 | 0.5275 | 0.5275 | 0.5275 | 0.5275 |
| 1.0829 | 3.0 | 1416 | 1.1405 | 0.5146 | 0.5146 | 0.5146 | 0.5146 |
| 1.0 | 4.0 | 1888 | 1.0262 | 0.5643 | 0.5643 | 0.5643 | 0.5643 |
| 0.9288 | 5.0 | 2360 | 1.0574 | 0.5762 | 0.5762 | 0.5762 | 0.5762 |
| 0.8776 | 6.0 | 2832 | 1.0456 | 0.5838 | 0.5838 | 0.5838 | 0.5838 |
| 0.8166 | 7.0 | 3304 | 1.1421 | 0.5745 | 0.5745 | 0.5745 | 0.5745 |
| 0.7636 | 8.0 | 3776 | 1.0959 | 0.5931 | 0.5931 | 0.5931 | 0.5931 |
| 0.7173 | 9.0 | 4248 | 1.1400 | 0.5851 | 0.5851 | 0.5851 | 0.5851 |
| 0.6915 | 10.0 | 4720 | 1.1498 | 0.5966 | 0.5966 | 0.5966 | 0.5966 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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